Triple
T24219053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24th U.S. Infantry Regiment |
E601393
|
entity |
| Predicate | ethnicMakeup |
P62280
|
FINISHED |
| Object | African American soldiers with white officers |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: African American soldiers with white officers | Statement: [24th U.S. Infantry Regiment, ethnicMakeup, African American soldiers with white officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicMakeup Context triple: [24th U.S. Infantry Regiment, ethnicMakeup, African American soldiers with white officers]
-
A.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
-
B.
citizenshipDistribution
Indicates how citizenship status or national affiliation is distributed across a set of individuals or groups.
-
C.
ethnicGroupSize
Indicates the number of individuals belonging to a particular ethnic group within a specified population or context.
-
D.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
E.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820b9c808190b6f9201e4b2e85c2 |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:59 p.m.